CAC and LTV are hard to trust
Spend, pipeline, revenue, retention, and cohort data live in different systems with different definitions.
For growth teams
Make growth decisions from numbers you can defend.
MetricMaven helps growth teams fix the tracking, attribution, reporting, and measurement gaps that make CAC, LTV, pipeline, and channel performance unreliable.
MetricMaven
Growth measurement layer
Mode
Decide
CAC Spend to qualified pipeline Modeled
LTV Cohort and revenue quality Tracked
Channels Attribution and incrementality Compared
Forecast Budget scenarios Planned
99.9%
data accuracy restored
40+
hours freed weekly
5-8
week implementation sprint
The pressure
Growth teams move faster than their measurement systems.
Channels change, offers evolve, sales motions shift, and reporting definitions drift. The result is a growth team optimizing from numbers that are late, partial, or overcredited.
Ad platforms optimize on incomplete signal
Missing events, weak server-side routing, and CRM gaps prevent platforms from learning from qualified outcomes.
Budget planning needs evidence beyond attribution
At higher spend levels, teams need incrementality, forecasting, and scenario planning, not only last-click dashboards.
Service path
The growth measurement stack we support
MetricMaven can start with diagnosis, rebuild the source data, build reporting, or support advanced measurement and ongoing analytics operations.
Attribution Audit
Find the revenue your attribution is losing.
A revenue-focused audit that reconciles GA4, GTM, ad platforms, CRM fields, UTMs, and reporting logic.
View Attribution Audit →Analytics Implementation
Fix the tracking layer your growth depends on.
Done-for-you tracking and measurement infrastructure for teams ready to fix attribution at the source.
View Analytics Implementation →Performance Reporting
Replace manual reporting with one operating view.
Dashboards and reporting models that connect spend, pipeline, revenue, CAC, LTV, and payback in one operating layer.
View Performance Reporting →Marketing Science
Measure what platform attribution cannot prove.
Advanced measurement projects for teams that need incrementality, MMM, LTV forecasting, and budget scenario planning beyond platform attribution.
View Marketing Science →Ongoing Analytics Partner
Add senior analytics capacity without hiring.
Recurring senior analytics support for QA, reporting requests, tracking issues, roadmap work, and agency client delivery.
View Ongoing Analytics Partner →Free resource
Attribution Audit Checklist
A practical checklist for reviewing UTMs, GA4 events, ad platform conversions, CRM source capture, and revenue reporting before the numbers drive spend decisions.
UTM capture and persistence checks
GA4 event and conversion validation
Ad platform conversion and deduplication review
CRM source field and lifecycle mapping
Get the Attribution Audit Checklist
Send the checklist to your inbox and use it to spot the tracking and reporting gaps worth fixing first.
Checklist request received
We received the request. Our team will follow up with the attribution audit checklist and the next steps if your stack needs a deeper review.
Operating model
How MetricMaven fits beside the growth team
Source-data first
We fix tracking, CRM source fields, and data pipelines before asking dashboards to answer bigger questions.
Decision-backed reporting
Dashboards are scoped around CAC, LTV, pipeline, payback, budget, and channel decisions instead of vanity metrics.
Advanced measurement when ready
When attribution is not enough, we add MMM, incrementality, holdout analysis, LTV forecasting, and scenario planning.
Proof
Relevant proof points.
The same operating model supports attribution, dashboard, and analytics delivery work across agencies and growth teams.
Enterprise data rebuild
Rebuilt failed analytics infrastructure into a scalable BigQuery platform with 99.9% data accuracy.
Franchise attribution
Connected ad spend to CRM deal stages across 10 service brands.
Reporting automation
Reduced recurring reporting work so teams could act from current performance data.
Questions
Before you book.
Do we need a warehouse before working with MetricMaven? +
No. We can audit the existing stack first and recommend whether the next step is tracking cleanup, warehouse work, dashboards, or advanced measurement.
Can this help with CAC and LTV reporting? +
Yes. We connect spend, source data, CRM outcomes, revenue, and retention data so CAC, LTV, payback, and pipeline reporting can be trusted.
When should a growth team use marketing science? +
Use marketing science when spend decisions need evidence beyond attribution, such as incrementality, MMM, LTV forecasting, or budget scenario planning.
Ready to map the next step?
Make growth decisions from numbers you can defend.
Bring the reporting gap, client pressure, or budget question. We will map the right service path.